Efficient genomics based ‘end-to-end’ selective tree breeding framework

Since their initiation in the 1950s, worldwide selective tree breeding programs followed the recurrent selection scheme of repeated cycles of selection, breeding (mating), and testing phases and essentially remained unchanged to accelerate this process or address environmental contingences and concerns. Here, we introduce an “end-to-end” selective tree breeding framework that: 1) leverages strategically preselected GWAS-based sequence data capturing trait architecture information, 2) generates unprecedented resolution of genealogical relationships among tested individuals, and 3) leads to the elimination of the breeding phase through the utilization of readily available wind-pollinated (OP) families. Individuals’ breeding values generated from multi-trait multi-site analysis were also used in an optimum contribution selection protocol to effectively manage genetic gain/co-ancestry trade-offs and traits’ correlated response to selection. The proof-of-concept study involved a 40-year-old ..., See Readme file, , This El-Kassaby_README.md file was generated on 2023-10-22 by Yousry A. El-Kassaby
Revised: 2023-12-15

GENERAL INFORMATION

1. Title of Dataset: Efficient genomics-based ‘end-to-end’ selective tree breeding framework

2. Author Information
Name: Yousry A. El-Kassaby
Institution: Department of Forest and Conservation Sciences | Faculty of Forestry | The University of British Columbia
Address: 4603-2424 Main Mall | Vancouver, BC Canada V6T 1Z4
Email: [e-mail]

3. Date of data collection (single date, range, approximate date): See Materials and Methods section in the manuscript.

4. Geographic location of data collection : See Materials and Methods section in the manuscript.

5. Information about funding sources that supported the collection of the data: NSERC Discovery Grant to Yousry A. El-Kassaby.

SHARING/ACCESS INFORMATION

1. Licenses/restrictions placed on the data: -

2. Links to publications that cite or use the data: -

3. Links to other publicly accessible l...

自20世纪50年代启动以来，全球林木选择性育种项目均遵循「选择-育种（交配）-测试」循环的轮回选择方案，且在加速育种进程或应对环境突发事件与相关顾虑时，其核心框架始终未发生实质性改变。在此，我们提出一种"端到端"的林木选择性育种框架，该框架具备以下特点：1）依托经策略性预选的全基因组关联分析（Genome-Wide Association Study, GWAS）序列数据以捕获性状架构信息；2）实现了被测个体间亲缘关系解析度的空前提升；3）通过利用可直接获取的风媒授粉（open pollinated, OP）家系，省去了传统的育种环节。通过多性状多地点分析得到的个体育种值，还被应用于最优贡献选择方案中，以有效平衡遗传增益与共祖权衡，以及性状对选择的相关响应。本概念验证研究涉及一个40年树龄的林木材料……详见README文件。本El-Kassaby_README.md文件由Yousry A. El-Kassaby于2023年10月22日生成，2023年12月15日修订。

一、基本信息
1. 数据集标题：基于基因组学的高效"端到端"林木选择性育种框架
2. 作者信息
姓名：Yousry A. El-Kassaby
所属机构：英属哥伦比亚大学林学院森林与保护科学系
通讯地址：加拿大不列颠哥伦比亚省温哥华市Main Mall 2424号4603室，邮编V6T 1Z4
电子邮箱：[e-mail]
3. 数据收集日期（单一日期、日期范围或近似日期）：详见论文中的材料与方法部分。
4. 数据收集地理位置：详见论文中的材料与方法部分。
5. 数据资助信息：加拿大自然科学与工程研究理事会（NSERC）发现资助计划（Discovery Grant）资助Yousry A. El-Kassaby开展本研究。

二、共享与获取信息
1. 数据使用许可与限制：无
2. 引用或使用本数据集的出版物链接：无
3. 其他可公开获取的链接……